To address the asymptotic correlation function dependency of the [1]} framework, [2]} defined the “best" values of the calibration parameters to be those that minimise the squared norm of the bias function in the associated \(L^2\)  space. That is
\(\theta _{L^2} = \arg \min _{\theta \in \Theta } L_{L^2}(\theta ),\) 
